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Computer Engineering ›› 2006, Vol. 32 ›› Issue (3): 209-211.

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

Samples’ Common Feature Based Information Collection for Product Design

ZHANG Quanli, HE Weiping, QIN Zhongbao, WANG Zheng   

  1. Key Laboratory of Contemporary Design and Integrated Manufacturing Technology,Ministry of Education, Northwest Polytechnic University, Xi’an 710072
  • Online:2006-02-05 Published:2006-02-05

基于样本公共特征的产品设计信息搜集

张全力,何卫平,秦忠宝,王 政   

  1. 西北工业大学现代设计与集成制造技术教育部重点实验室,西安 710072

Abstract: Search engine and text filtering technique are all used to help users to gain information they need quickly and precisely. On the basis of researching on user’ s needs expressing methods in search engine and text filtering technique, the paper proposes a method which uses samples’common feature to express user’s needs, combined with search engine and text filtering technique, it sets up an information collection system for product design.

Key words: Text feature; Product design; Search engine; Information collection

摘要: 搜索引擎和文本过滤技术都是为了帮助用户快速、准确地获取用户需求的信息。在研究搜索引擎和文本过滤技术中的用户需求表达方法的基础上,提出了一种利用样本公共特征来表达用户需求的方法,结合网络上的搜索引擎和文本过滤技术,构建了一个面向产品设计的信息搜集系统。

关键词: 文本特征;产品设计;搜索引擎;信息搜集